Comprehensive analysis of artificial intelligence techniques for gynaecological cancer: symptoms identification, prognosis and prediction
Gynaecological cancers encompass a spectrum of malignancies affecting the female
reproductive system, comprising the cervix, uterus, ovaries, vulva, vagina, and fallopian …
reproductive system, comprising the cervix, uterus, ovaries, vulva, vagina, and fallopian …
Optimizing cervical cancer prediction, harnessing the power of machine learning for early diagnosis
Cervical cancer is one of the most widespread ovarian cancers in the world. It is linked up
with multiple risk factors such as Sexually transmitted diseases, human papillomavirus and …
with multiple risk factors such as Sexually transmitted diseases, human papillomavirus and …
Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival
Cervical cancer is a deadly disease in women globally. There is a greater chance of getting
rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of …
rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of …
Prediction of lamb survival using machine learning algorithms with neonatal lamb behaviors and maternal behavior score in Kivircik lambs
The aims of this study were to examine the relationship between lamb and ewe behaviors in
postnatal 3-hour and lamb survival using machine learning (ML) algorithms and to …
postnatal 3-hour and lamb survival using machine learning (ML) algorithms and to …
Investigation of factors influencing low physical activity levels in community-dwelling older adults with chronic pain: a cross-sectional study
M Hida, R Imai, M Nakamura, H Nakao, K Kitagawa… - Scientific Reports, 2023 - nature.com
Low levels of physical activity in individuals with chronic pain can lead to additional
functional impairment and disability. This study aims to investigate the predictors of low …
functional impairment and disability. This study aims to investigate the predictors of low …
[PDF][PDF] Artificial Intelligence Algorithms in Predictive Factors for Hematologic Toxicities During Concurrent Chemoradiation for Cervical Cancer
The most recent research conducted for the International Federation of Gynecology and
Obstetrics indicates that, depending on the stage of cervical cancer (CC), several therapies …
Obstetrics indicates that, depending on the stage of cervical cancer (CC), several therapies …
Deep Learning-based VGGNet, GoogleNet, and DenseNet121 Models for Cervical Cancer Prediction
Cervical cancer is still a serious health issue in the world and underscores the importance of
developing accurate, effective diagnostic tools. This research investigates cervical cancer …
developing accurate, effective diagnostic tools. This research investigates cervical cancer …
Performance Analysis of Neural Network Architectures for Cervical Precancerous Images Classification Based on Texture Features
Cervical cancer remains a leading cause of cancer-related mortality among women globally,
particularly in low-and middle-income countries, necessitating effective diagnostic methods …
particularly in low-and middle-income countries, necessitating effective diagnostic methods …
Risk factor analysis and prediction of Cervical Cancer based on machine learning models
Cervical cancer is a leading cause for women and is threatening women's health globally
and it is difficult to observe any signs in the very early stage. But Machine learning will be a …
and it is difficult to observe any signs in the very early stage. But Machine learning will be a …
Disease-Free Survival Prediction in Recurrent Cervical Cancer using Naive Bayes Machine Learning Algorithm
S Geeitha, P Renuka, K Poongothai… - … on Smart Electronics …, 2024 - ieeexplore.ieee.org
Cervical cancer ranks amongst the most common causes of death for women. The primary
objective of this research is to use artificial intelligence based Naive bayes machine learning …
objective of this research is to use artificial intelligence based Naive bayes machine learning …